Triple

T10004399
Position Surface form Disambiguated ID Type / Status
Subject Behati Prinsloo E198206 entity
Predicate birthName P65 FINISHED
Object Behati Prinsloo E198206 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Behati Prinsloo | Statement: [Behati Prinsloo, birthName, Behati Prinsloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Behati Prinsloo
Context triple: [Behati Prinsloo, birthName, Behati Prinsloo]
  • A. Behati Prinsloo chosen
    Behati Prinsloo is a Namibian model best known for her long-running work with Victoria’s Secret and for being one of the brand’s prominent Angels.
  • B. Kagiso Kuypers
    Kagiso Kuypers is an actor best known for his role in the 2006 political war thriller film "Blood Diamond."
  • C. Bridgette Radebe
    Bridgette Radebe is a South African mining entrepreneur and businesswoman, recognized as one of the country’s first black female mine owners and a prominent figure in the mining industry.
  • D. Jannie Louw
    Jannie Louw is a notable individual associated with the surname Louw, recognized for achievements significant enough to be specifically cited as a bearer of the name.
  • E. Lerato Radebe
    Lerato Radebe is an individual notable enough to be specifically cited as a bearer of the surname Radebe, though detailed public information about them is limited.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd141ec08190b857fe7e15a8df93 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28209678c8190898d923753bb4472 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:51 p.m.